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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 1937
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    INDEX
    Explanations

    references to living or being alive

    oai_token-act-pair · gpt-3.5-turbo

    the concept of living or lifestyle-related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unity
    -0.85
    uyomi
    -0.81
    raviolet
    -0.76
    igham
    -0.76
    une
    -0.75
    essee
    -0.73
    adr
    -0.72
    intendent
    -0.71
    umen
    -0.71
    orically
    -0.70
    POSITIVE LOGITS
    lihood
    1.01
     LIVE
    0.98
    Live
    0.89
     Live
    0.85
    live
    0.83
     live
    0.83
     Reincarn
    0.76
     Living
    0.76
    lier
    0.76
     living
    0.75
    Activations Density 0.018%

    No Known Activations